Instant OpenCV Starter by Jayneil Dalal, Sohil Patel

By Jayneil Dalal, Sohil Patel

Get begun with OpenCV utilizing sensible, hands-on initiatives with this publication and ebook

Overview

  • Learn anything new instantly! a brief, speedy, targeted consultant providing speedy results
  • Step via step deploy of OpenCV in home windows and Linux
  • Examples and code in keeping with real-life implementation of OpenCV to assist the reader comprehend the significance of this technology
  • Codes and algorithms with specified explanations

In Detail

In the electronic age of photo and video sharing, the necessity for desktop imaginative and prescient is at an all time excessive. have a look round you and you'll see that desktop imaginative and prescient is being carried out all over. it's getting used in autos, social networking websites, and in a number of different fields similar to scientific technology, robotics, protection, domestic automation, and so forth. this can be the place OpenCV comes into the image. OpenCV is the world's most well-liked open resource laptop imaginative and prescient library with greater than 500 optimized algorithms for picture and video analysis.

Instant OpenCV Starter is a realistic, hands-on advisor to help you comprehend the significance of machine imaginative and prescient in genuine existence in addition to a few of the assorted features of the OpenCV library through small programming initiatives with uncomplicated, exact explanations.

This publication is helping novices speedy study OpenCV to enforce numerous desktop imaginative and prescient similar projects. you are going to first comprehend the significance and functions of machine imaginative and prescient in actual existence. After that, you are going to the right way to manage OpenCV, by means of a chain of functional programming tasks to get you conversant in numerous features within the OpenCV library.

The e-book also will concentrate on the use of OpenCV in a couple of outstanding initiatives reminiscent of detecting obstacles in a given photograph, hiding a picture in a special photograph to transmit mystery details (known as photo steganography) in addition to do real-time video processing.

Instant OpenCV Starter will train you ways to put in and use the OpenCV library for numerous easy computing device imaginative and prescient comparable tasks.

What you are going to study from this book

  • Discover the fundamentals of OpenCV
  • Install OpenCV in home windows and Linux
  • Learn trivial OpenCV projects reminiscent of examining, showing, cropping, and saving images
  • Understand pixel manipulation
  • Apply snapshot conversions
  • Explore photograph and video processing
  • Handle troubleshooting

Approach

Get to grips with a brand new know-how, comprehend what it truly is and what it might probably do for you, after which get to paintings with crucial beneficial properties and tasks.A sensible, fast, and hands-on advisor for Python builders and hobbyists who are looking to start with machine imaginative and prescient with OpenCV.

Who this e-book is written for

This publication is superb for builders, hobbyists, and scholars new to desktop imaginative and prescient who're seeking to get an outstanding grounding in tips to use the OpenCV library. It’s assumed that you'll have a few simple adventure in C/C++ programming.

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Example text

In this case, it converts a given color image to grayscale. The function takes three arguments. The first one is the matrix containing the source image (the image that we want to convert), while the second one is the matrix in which we want to store the converted image. The third argument specifies the type of conversion that we want perform and in our case, it is CV_BGR2GRAY. We can also use the above function to convert an image from a given color space model like RGB to other models such as HSV and CIELAB.

All projects include a step-by-step tutorial and full source-code, using the C++ interface of OpenCV OpenCV 2 Computer Vision Application Programming Cookbook ISBN: 978-1-84951-324-1 Paperback: 304 pages Over 50 recipes to master this ibrary of programming functions for real-time computer vision 1. Teaches you how to program computer vision applications in C++ using the different features of the OpenCV library 2. Demonstrates the important structures and functions of OpenCV in detail with complete working examples 3.

So, the company uses edge detection and robotics to filter out and remove the defective pieces from the main lot. Task For a given image, detect the edges/boundaries in it. cols, CV_8UC1); // convert RGB image to GrayScale cvtColor(image, gray, CV_BGR2GRAY); // create image to store final edge detected image. copyTo(cedge, edge); namedWindow("Output Image", CV_WINDOW_AUTOSIZE); // display the image in the window created imshow("Output Image", cedge); waitKey(0); return 0; } Code explanation The code here is quite similar to the ones we have looked at before.

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